Dalton D. Lunga
Orcid: 0000-0003-0054-1141Affiliations:
- Oak Ridge National Laboratory, USA
According to our database1,
Dalton D. Lunga
authored at least 61 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on ornl.gov
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on orcid.org
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on dl.acm.org
On csauthors.net:
Bibliography
2024
Ann. GIS, January, 2024
2023
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Towards Geospatial Knowledge Graph Infused Neuro-Symbolic AI for Remote Sensing Scene Understanding.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
ARD, FAIR Earth Observation Principles, Data Fusion: Where are we and where do we need to go?
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
SpaceNet 8: Winning Approaches to Multi-Class Feature Segmentation from Satellite Imagery for Flood Disasters.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022).
ACM SIGSPATIAL Special, November, 2022
Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2022
Learning to Count Grave Sites for Cemetery Observation Models With Satellite Imagery.
IEEE Geosci. Remote. Sens. Lett., 2022
Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin?
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research.
ACM SIGSPATIAL Special, November, 2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Proceedings of KDD 2020 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning.
CoRR, 2021
Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning.
CoRR, 2021
Distributed Training for High Resolution Images: A Domain and Spatial Decomposition Approach.
Proceedings of the IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop, 2021
Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the GeoSearch'21: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2021
Computer-aided Abnormality Detection in Chest Radiographs in a Clinical Setting via Domain-adaptation.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
2020
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Accounting for Training Data Error in Machine Learning Applied to Earth Observations.
Remote. Sens., 2020
Electricity consumption patterns within cities: application of a data-driven settlement characterization method.
Int. J. Digit. Earth, 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Sampling Subjective Polygons for Patch-Based Deep Learning Land-Use Classification in Satellite Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020
2019
ACM SIGSPATIAL Special, 2019
GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019.
ACM SIGSPATIAL Special, 2019
Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer.
Concurr. Comput. Pract. Exp., 2019
Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit.
Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019
Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Towards Misregistration-Tolerant Change Detection using Deep Learning Techniques with Object-Based Image Analysis.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
2018
Building Extraction at Scale Using Convolutional Neural Network: Mapping of the United States.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Domain-Adapted Convolutional Networks for Satellite Image Classification: A Large-Scale Interactive Learning Workflow.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
GeoAI 2018 workshop report the 2nd ACM SIGSPATIAL international workshop on GeoAI: AI for geographic knowledge discovery seattle, WA, USA - November 6, 2018.
ACM SIGSPATIAL Special, 2018
A Comparison of Machine Learning Techniques to Extract Human Settlements from High Resolution Imagery.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Hashed Binary Search Sampling for Convolutional Network Training with Large Overhead Image Patches.
CoRR, 2017
CoRR, 2017
Paediatric Frontal Chest Radiograph Screening with Fine-Tuned Convolutional Neural Networks.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
Toward country scale building detection with convolutional neural network using aerial images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Hashed binary search sampling for convolutional network training with large overhead image patches.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Exploiting convolutional representations for multiscale human settlement detection: Preliminary results.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2014
IEEE Trans. Geosci. Remote. Sens., 2014
Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning.
IEEE Signal Process. Mag., 2014
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
2013
IEEE Trans. Geosci. Remote. Sens., 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
2011
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2011
Proceedings of the 2011 IEEE Applied Imagery Pattern Recognition Workshop: Imaging for Decision Making, 2011
2006
Online Forecasting of Stock Market Movement Direction Using the Improved Incremental Algorithm.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006